Applied Total Current Assets from 2010 to 2024

AMAT Stock  USD 174.71  3.39  1.98%   
Applied Materials Total Current Assets yearly trend continues to be comparatively stable with very little volatility. Total Current Assets are likely to outpace its year average in 2024. Total Current Assets is the total value of all assets that are expected to be converted into cash within one year or during the normal operating cycle. View All Fundamentals
 
Total Current Assets  
First Reported
1985-10-31
Previous Quarter
20.7 B
Current Value
21.2 B
Quarterly Volatility
B
 
Black Monday
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Applied Materials financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Applied Materials' main balance sheet or income statement drivers, such as Depreciation And Amortization of 621.9 M, Interest Expense of 259.4 M or Selling General Administrative of 525.3 M, as well as many indicators such as Price To Sales Ratio of 5.5, Ptb Ratio of 10.88 or Capex To Depreciation of 1.73. Applied financial statements analysis is a perfect complement when working with Applied Materials Valuation or Volatility modules.
  
Check out the analysis of Applied Materials Correlation against competitors.
For more information on how to buy Applied Stock please use our How to Invest in Applied Materials guide.

Latest Applied Materials' Total Current Assets Growth Pattern

Below is the plot of the Total Current Assets of Applied Materials over the last few years. It is the total value of all assets that are expected to be converted into cash within one year or during the normal operating cycle. Applied Materials' Total Current Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Applied Materials' overall financial position and show how it may be relating to other accounts over time.
Total Current Assets10 Years Trend
Slightly volatile
   Total Current Assets   
       Timeline  

Applied Total Current Assets Regression Statistics

Arithmetic Mean11,932,783,500
Geometric Mean8,449,373,422
Coefficient Of Variation54.42
Mean Deviation5,210,075,733
Median10,747,000,000
Standard Deviation6,493,785,289
Sample Variance42169247.4T
Range23B
R-Value0.97
Mean Square Error2809843.8T
R-Squared0.94
Slope1,406,415,777
Total Sum of Squares590369463.3T

Applied Total Current Assets History

202423.1 B
202322 B
202219.1 B
202115.9 B
202016.1 B
201913.4 B
201810.2 B

About Applied Materials Financial Statements

Applied Materials shareholders use historical fundamental indicators, such as Total Current Assets, to determine how well the company is positioned to perform in the future. Although Applied Materials investors may analyze each financial statement separately, they are all interrelated. The changes in Applied Materials' assets and liabilities, for example, are also reflected in the revenues and expenses on on Applied Materials' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Total Current Assets22 B23.1 B

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Additional Tools for Applied Stock Analysis

When running Applied Materials' price analysis, check to measure Applied Materials' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Applied Materials is operating at the current time. Most of Applied Materials' value examination focuses on studying past and present price action to predict the probability of Applied Materials' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Applied Materials' price. Additionally, you may evaluate how the addition of Applied Materials to your portfolios can decrease your overall portfolio volatility.